Design of OpenMP-based Parallel Louvain algorithm for community detection.

Design of OpenMP-based Parallel Dynamic Louvain algorithm for community detection.

Clustering with Agglomerative and DBSCAN algorithm Machine Learning

codes to cluster stocks into groups based on value at risk using K-Means, Agglomerative, and GMM.

Python implementation of Agglomerative Clustering algorithm for unsupervised learning. Hierarchical clustering method that merges similar clusters iteratively. Suitable for various data types and shapes, offering insights into hierarchical structures within datasets.

Computational Intelligence Clustering Models On ORL

Applying various clustering methods on ORL dataset with post processing enhancement

Performing basic clustering on a seeds dataset.

simple image clustring

This case requires to develop a customer segmentation to understand customer's behaviour and separate them in different groups according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.

Linkage Methods for Hierarchical Clustering

Clustering Algorithms and their Application to Facial Image Analysis

Credit Card Customer Segmentation using Agglomerative, K-Means, & K-Medoids

Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.

This is a homework about Clustering for machine learning course @ FUM.

Given a dataset with different features for different countries, implementing a clustering algorithm to find groups of countries based on the given features using R

Implementation of an agglomerative clustering algorithm.

customer segmentation by rfm analysis

Comparison of K-Means and Agglomerative Clustering